Project 08

Data Deduplication Tool

This project focuses on cleaning structured data by identifying and removing duplicate records from a CSV file. The tool supports configurable deduplication logic, allowing duplicates to be detected based on full-row matches or selected key columns. It is designed to improve data quality prior to downstream analysis, import, or reporting.

C# (.NET)

System.IO

LINQ

Technical

Highlights

  • Read CSV data into in-memory structures to support row-level comparison and processing.

  • Implemented flexible deduplication strategies based on entire rows or specific column combinations.

  • Used hash-based lookups (HashSet<string>) to efficiently track and eliminate duplicate records.

  • Leveraged LINQ for grouping, comparison, and filtering where appropriate.

  • Generated a clean CSV output containing only unique rows while preserving the original schema.

Project

Takeaways

  • Gained practical experience performing data-cleaning operations programmatically.

  • Learned how hashing enables fast duplicate detection at scale.

  • Explored how LINQ can simplify comparison and aggregation logic in structured data processing.